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Economic order quantity for multistage disassembly systems

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  • Godichaud, Matthieu
  • Amodeo, Lionel

Abstract

Disassembly economic order quantity models are proposed in this paper in order to reduce inventory costs in reverse logistics. The problems is to determine the quantities and the timings of disassembly operations to generate components for which there are known, continuous and constant demands over a planning horizon. Disassembly operations generate unnecessary inventories when the demands are not the same for all components. The proposed models integrate disposal decisions to handle this inventory surplus. Three new models are developed to determine reorder intervals in disassembly systems according to fixed disassembly order costs and inventory costs. The first one is a single stage model (one product to disassemble with several requested components) with one reorder interval to determine. The other two are for multi-stage disassembly systems (one reorder interval to be determined for each stage) under nested policies and integer-ratio ratio policies.

Suggested Citation

  • Godichaud, Matthieu & Amodeo, Lionel, 2018. "Economic order quantity for multistage disassembly systems," International Journal of Production Economics, Elsevier, vol. 199(C), pages 16-25.
    • Handle: RePEc:eee:proeco:v:199:y:2018:i:c:p:16-25
    DOI: 10.1016/j.ijpe.2018.02.008
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    References listed on IDEAS

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    Cited by:

    1. Slama, Ilhem & Ben-Ammar, Oussama & Thevenin, Simon & Dolgui, Alexandre & Masmoudi, Faouzi, 2022. "Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1183-1198.
    2. Liang, Wei & Zhang, Zeqiang & Yin, Tao & Zhang, Yu & Wu, Tengfei, 2023. "Modelling and optimisation of energy consumption and profit-oriented multi-parallel partial disassembly line balancing problem," International Journal of Production Economics, Elsevier, vol. 262(C).

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